Name
Abstract | ||
|---|---|---|
The ParLab at Berkeley, UPCRC-Illinois, and the Pervasive Parallel Laboratory at Stanford are studying how to make parallel programming succeed given industry's recent shift to multicore computing. All three centers assume that future microprocessors will have hundreds of cores and are working on applications, programming environments, and architectures that will meet this challenge. This article briefly surveys the similarities and difference in their research. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/MM.2010.42 | IEEE Micro |
Keywords | Field | DocType |
shared memory,multicore processing,ubiquitous computing,multicore,parallel computer,computer architecture,parallel programming,parallel processing,hardware,parallel computing | Computer architecture,Shared memory,Computer science,Parallel processing,Parallel computing,Multicore computing,Ubiquitous computing,Multi-core processor | Journal |
Volume | Issue | ISSN |
30 | 2 | 0272-1732 |
Citations | PageRank | References |
13 | 1.24 | 14 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bryan C. Catanzaro | 1 | 1191 | 75.56 |
| Armando Fox | 2 | 6238 | 524.64 |
| Kurt Keutzer | 3 | 5040 | 801.67 |
| David A. Patterson | 4 | 11093 | 1925.05 |
| Bor-Yiing Su | 5 | 324 | 18.28 |
| M. Snir | 6 | 3984 | 520.82 |
| Kunle Olukotun | 7 | 4532 | 373.50 |
| Pat Hanrahan | 8 | 11081 | 1148.97 |
| Hassan Chafi | 9 | 1118 | 61.11 |